Saliency Map
Definition
A saliency map makes influential input areas visible according to a specific method.
A visualization that shows which input areas particularly influence the model value or a prediction according to a specific method.
Simply explained
A marking shows, for example, which image areas weigh particularly heavily for the examined model prediction.
Why it matters in practice
The term helps to select, develop, evaluate AI systems in a well-founded manner and realistically assess their technical risks.
Example from business
A map marks image regions that contribute to the classification of a defect.
Limits and pitfalls
- Viewing saliency as a causal explanation or using unstable maps without comparison and plausibility checks.
Origin & history
Saliency maps became widespread in computer vision and explainability research.
Use in mid-sized companies
- Possible application: A map marks image regions that contribute to the classification of a defect.
Frequently asked questions
What does saliency map mean?
A visualization that shows which input areas particularly influence the model value or a prediction according to a specific method. What mistakes should be avoided? Viewing saliency as a causal explanation or using unstable maps without comparison and plausibility checks.
Sources
Source checked on 10.10.2026. Editorial application examples are hypothetical; no evidence of real customer results.
Editorially reviewed on: